Book Image

Hands-On Concurrency with Rust

By : Brian L. Troutwine
Book Image

Hands-On Concurrency with Rust

By: Brian L. Troutwine

Overview of this book

Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more. The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems. By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 10. Futurism – Near-Term Rust

We'vecovered a lot of material in this book.

If you already knew parallel programming well from another systems programming language, I hope that now you've got a confident handle on the way Rust operates. Its ownership model is strict, and can feel foreign at first. Unsafe Rust, if my own experiences are any kind of general guide, feels like more familiar ground. I hope that you too have come to appreciate the general safety of Rust, as well as its ability to do fiddly things in memory when needed. I find being able to implement unsafe code that is then wrapped up in a safe interface nothing short of incredible.

If you knew parallel programming fairly well from a high-level, garbage-collected programming language, then I hope that this book has served as an introduction to parallel programming at a systems level. As you know, memory safety does not guarantee correct operation, hence this book's continual focus on testing—generative and fuzz, in addition...